HIGH YIELD OB GYN PDF

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If we repeat our analysis of Pap test receipt using a 3-year time window we obtain very similar results. We also constructed a number of other variables to use as controls in the analysis. We excluded women with missing data for any of the analysis variables.

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We developed our data on the passage of laws from a number of secondary source compilations of information about laws, examining original state statutes and regulations to resolve discrepancies between sources Johnson et al. Where applicable, we used the effective dates rather than enactment dates of the policies.

In cases where laws appeared to be amended over time, we identified the earliest point at which the law appeared to be in effect, even if it was strengthened or weakened later. We are not aware of any states that had passed a mandate but then repealed it entirely during the study period.

In some analyses, we attempted to stratify laws based on the strength of their provisions.

This is inherently a subjective task. For analysis here, we placed laws into groups based on their strength and comprehensiveness according to data provided by the American College of Obstetricians and Gynecologists Moore We classify BRFSS respondents from a given state and year as being subject to a mandate if their state had a mandate in place before the beginning of the year in which their survey took place. Since we are frequently unable to tell exactly when within a year a given mandate went into force, we exclude observations from a given state in the year in which the state implemented the mandate.

For example, for a state that adopted a mandate in , we would include data on women from that state surveyed in and , who clearly were not affected by the mandate, and women surveyed in and , who were affected, but we exclude those surveyed in , some of whom would have been subject to the mandate and some of whom would not.

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Data used for this classification were computed based on Interstudy data Baker ; Baker , Phillips et al. Based on the average — market share, we identified the bottom tercile 0— We also classified respondents based on state-level rates of enrollment in non—self-insured HMOs.

We assumed that all HMO enrollees in firms with fewer than 50 employees were not self-insured, and computed estimates of the average — share of private sector employees in non—self-insured HMOs by state.

A speculum exam with a nitrazine test to confirm rupture of membranes is indicated if the patients history suggests this, or if a patient is uncertain as to whether she has experienced leakage of amniotic fluid.

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If the fetal heart rate cannot be confirmed using external methods, then this is the most reliable way to document fetal well-being. Management of bad fetal tracing Identify nonhypoxic causes that can explain the abnormal ndings.

Most common are medications, particularly -agonists or -blockers.

Begin intrauterine resuscitation as follows: a. Discontinue medications e.

Give IV normal saline bolus c. Provide high- flow oxygen d.

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Change patients position left lateral e. We identified women with private coverage as those who indicated having health care coverage either through their employer, someone else's employer, or a plan that they or someone else bought on their own.

For each individual, we constructed two measures of screening receipt for analysis. Respondents were asked if they had ever had a mammogram and, if so, how long it had been since their last mammogram. We used these data to construct an indictor for having had a mammogram within the past 2 years. Similarly, respondents were asked whether they had ever had a Pap smear and, if so, how long it had been since their last Pap smear.

We used responses to these questions to construct an indicator for having received a Pap smear in the past 2 years. While guidelines generally call for the receipt of mammography at least every two years, evidence seems to support Pap test screening at least every 3 years.

If we repeat our analysis of Pap test receipt using a 3-year time window we obtain very similar results.

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We also constructed a number of other variables to use as controls in the analysis. We excluded women with missing data for any of the analysis variables.

We developed our data on the passage of laws from a number of secondary source compilations of information about laws, examining original state statutes and regulations to resolve discrepancies between sources Johnson et al.

Where applicable, we used the effective dates rather than enactment dates of the policies. In cases where laws appeared to be amended over time, we identified the earliest point at which the law appeared to be in effect, even if it was strengthened or weakened later.

We are not aware of any states that had passed a mandate but then repealed it entirely during the study period. In some analyses, we attempted to stratify laws based on the strength of their provisions.

This is inherently a subjective task. For analysis here, we placed laws into groups based on their strength and comprehensiveness according to data provided by the American College of Obstetricians and Gynecologists Moore We used responses to these questions to construct an indicator for having received a Pap smear in the past 2 years. The most common risk factor, however, is excessive iatrogenic traction on the umbilical cord during the third stage of delivery.

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We lack data on these kinds of measures from sources with enough cross-sectional and time series breadth to permit analyses of the type we undertake here. Meconium amnio fluid?

We lack data on these kinds of measures from sources with enough cross-sectional and time series breadth to permit analyses of the type we undertake here. Based on the average — market share, we identified the bottom tercile 0— We restricted the sample to women with private insurance, as the laws do not apply to women with public coverage.

Foundations of Osteopathic Medicine.

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